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Exploring Linguistic Probes for Morphological Generalization

Domaine:

natural language processing

Type de record:

paper
Créateur:
KodKhaPay
Hôte:avatar
Modern work on the cross-linguistic computational modeling of morphological inflection has typically employed language-independent data splitting algorithms. In this paper, we supplement that approach with language-specific probes designed to test aspects of morphological generalization. Testing these probes on three morphologically distinct languages, English, Spanish, and Swahili, we find evidence that three leading morphological inflection systems employ distinct generalization strategies over conjugational classes and feature sets on both orthographic and phonologically transcribed inputs. to appear at EMNLP 2023